How does MongoDB ensure data integrity?

MongoDB ensures data integrity primarily through the use of transactions, validation rules, and replica sets, which are designed to maintain the accuracy and consistency of data over time.

Transactions in MongoDB allow for multiple operations to be executed in a single atomic action, which means either all changes are committed, or none are applied. This is crucial for maintaining consistency, especially in scenarios involving multiple related operations that depend on one another.

Validation rules enable developers to enforce data structure and integrity constraints at the database level. This means that only data conforming to the defined rules will be accepted into the database, which helps prevent invalid data from being stored.

Replica sets contribute to data integrity by providing redundancy and high availability. They maintain multiple copies of the data across different servers. In the event of a failure, failover can occur, ensuring that the data remains accessible and intact.

The other options, while they may contribute to overall data management and security, do not specifically address the mechanisms by which data integrity is ensured in a MongoDB environment. For example, daily backups and archiving are useful for data recovery but do not prevent data corruption or inconsistency in real-time. Limiting access is important for security but does not directly ensure that the data itself remains correct and reliable